Difference between revisions of "X-Search"

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(XSearch)
(XSearch)
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  __TOC__
 
  __TOC__
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;Person responsible for editing/maintaining this page: Pavlos Fafalios
 
;Person responsible for editing/maintaining this page: Pavlos Fafalios
 +
  
 
;Type
 
;Type
 
: Libraries, Web application, deployed (and configured) applications
 
: Libraries, Web application, deployed (and configured) applications
 +
  
 
;Description (should specify min/max size)
 
;Description (should specify min/max size)
 
: Detailed description at https://gcube.wiki.gcube-system.org/gcube/index.php/X-Search
 
: Detailed description at https://gcube.wiki.gcube-system.org/gcube/index.php/X-Search
 +
  
 
;Related iMarine WP/Tasks
 
;Related iMarine WP/Tasks
 
: T10.4
 
: T10.4
 +
  
 
;Related iMarine Deliverables:
 
;Related iMarine Deliverables:
 +
  
 
;Related Milestones:
 
;Related Milestones:
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;Related Presentations/Tutorials
 
;Related Presentations/Tutorials
 
:  link to latest presentation ?
 
:  link to latest presentation ?
 +
  
 
;Current (development) status:
 
;Current (development) status:
 
Link to a document that describes the implemented features:
 
Link to a document that describes the implemented features:
 
http://bscw.research-infrastructures.eu/bscw/bscw.cgi/d258140/XSearch%20PrototypesYear1.docx
 
http://bscw.research-infrastructures.eu/bscw/bscw.cgi/d258140/XSearch%20PrototypesYear1.docx
 +
  
 
;Current Deployments (click to run)
 
;Current Deployments (click to run)
  
 +
* X-Search over Bing and FactForge: http://139.91.183.72/x-search/
  
:  ... including links (Pavlo please fill, for each also a few lines describing the functionality)
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A meta-search engine offering "semantically enriched" entity mining of the top hits. Specifically, user is able to retrieve more information about a discovered entity by simply clicking the icon next to entity's label. In that case and according to the category of the selected entity, a SPARQL query is sent trying to fetch more information about that entity from the Linked Open Data cloud, exploiting various LOD datasets that offer access through SPARQL endpoints
 
+
* X-Search over Bing and FactForge: http://139.91.183.72/x-search/
+
 
* X-Search over FIGIS and FLOD: http://139.91.183.72/x-search-fao/
 
* X-Search over FIGIS and FLOD: http://139.91.183.72/x-search-fao/
 
* X-Search over ECOSCOPE: http://139.91.183.72/x-search-fao/
 
* X-Search over ECOSCOPE: http://139.91.183.72/x-search-fao/
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;Demo Scenarios
 
;Demo Scenarios
: ...
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: Suppose that a user is looking for publications about ''tuna''. Specifically he wants to find experiments that were applied to several species of tuna. So, he submits the query ''tuna'' and gets a sorted list of results and various categories of entities like ''Regional Fisheries Body'', ''Species'', ''FAO Country'', etc.
 +
User realizes that the category ''Species'' may contain interesting entities. He notices that there is an entity with the label ''yellowfin'' which is a species of tuna found in pelagic waters of tropical and subtropical oceans worldwide, and an entity with the label ''skipjack tuna'' which is another species in the tuna family.
 +
Both entities contain one (common) result; one related publication which is the 17th in the ranked list. So, user by performing just one click can locate that result which is very relevant to what he is looking for.
 +
Furthermore, user is able to locate fast results that are related to several FAO countries, Regional Fisheries Bodies, Persons, etc. For example, there are 4 results about tuna that are related to ''Madagascar''.
 +
 
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'''Entity Enrichment:''' By clicking the RDF icon next to the entity’s name, user can instantly (at that time) get information about that particular entity by querying the FLOD endpoint (or the TLO-SPARQL endpoint). For example, by clicking the icon next to ''yellowfin'' we could instantly get more information about yellowfin tuna and explore its characteristics (e.g. a list of ''is predator of'', ''is prey of'', etc.).
 +
 
  
 
;Related Papers
 
;Related Papers

Revision as of 12:49, 28 November 2012

XSearch

Contents


Person responsible for editing/maintaining this page
Pavlos Fafalios


Type
Libraries, Web application, deployed (and configured) applications


Description (should specify min/max size)
Detailed description at https://gcube.wiki.gcube-system.org/gcube/index.php/X-Search


Related iMarine WP/Tasks
T10.4


Related iMarine Deliverables


Related Milestones

Cover page: http://bscw.research-infrastructures.eu/bscw/bscw.cgi/d247523/MS45_M6.pdf

Detailed: https://gcube.wiki.gcube-system.org/gcube/index.php/Semantic_Data_Analysis


Related Cluster

http://wiki.i-marine.eu/index.php/Semantic_cluster_achievements


Related Presentations/Tutorials
link to latest presentation ?


Current (development) status

Link to a document that describes the implemented features: http://bscw.research-infrastructures.eu/bscw/bscw.cgi/d258140/XSearch%20PrototypesYear1.docx


Current Deployments (click to run)

A meta-search engine offering "semantically enriched" entity mining of the top hits. Specifically, user is able to retrieve more information about a discovered entity by simply clicking the icon next to entity's label. In that case and according to the category of the selected entity, a SPARQL query is sent trying to fetch more information about that entity from the Linked Open Data cloud, exploiting various LOD datasets that offer access through SPARQL endpoints

Issue: ...

Demo Scenarios
Suppose that a user is looking for publications about tuna. Specifically he wants to find experiments that were applied to several species of tuna. So, he submits the query tuna and gets a sorted list of results and various categories of entities like Regional Fisheries Body, Species, FAO Country, etc.

User realizes that the category Species may contain interesting entities. He notices that there is an entity with the label yellowfin which is a species of tuna found in pelagic waters of tropical and subtropical oceans worldwide, and an entity with the label skipjack tuna which is another species in the tuna family. Both entities contain one (common) result; one related publication which is the 17th in the ranked list. So, user by performing just one click can locate that result which is very relevant to what he is looking for. Furthermore, user is able to locate fast results that are related to several FAO countries, Regional Fisheries Bodies, Persons, etc. For example, there are 4 results about tuna that are related to Madagascar.

Entity Enrichment: By clicking the RDF icon next to the entity’s name, user can instantly (at that time) get information about that particular entity by querying the FLOD endpoint (or the TLO-SPARQL endpoint). For example, by clicking the icon next to yellowfin we could instantly get more information about yellowfin tuna and explore its characteristics (e.g. a list of is predator of, is prey of, etc.).


Related Papers

P. Fafalios, I. Kitsos, Y. Marketakis, C. Baldassarre, M. Salampasis and Y. Tzitzikas, Web Searching with Entity Mining at Query Time, Proceedings of the 5th Information Retrieval Facility Conference, IRF 2012, Vienna, July 2012.

Paper (pdf): http://www.ics.forth.gr/~fafalios/files/pubs/fafalios_2012_irf.pdf
Presentation (pdf): http://www.ics.forth.gr/~fafalios/files/ppts/fafalios_2012_irfc_presentation.pdf
BIB (txt): http://www.ics.forth.gr/~fafalios/files/bibs/fafalios2012websearching.bib


Status
.... in terms of stability/evaluation/testetc
Related tickets
numbers and links to the TRAC system
Plans of next steps and related tickets
  • Hosting by gCube
  • service
  • ....
  • Exploitation of forthcoming TLO: ...